Invention Grant
- Patent Title: Methods and apparatus to improve detection of malware based on ecosystem specific data
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Application No.: US16917497Application Date: 2020-06-30
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Publication No.: US11599635B2Publication Date: 2023-03-07
- Inventor: Andres More , Celeste Fralick , Amanda House , Sherin Mathews
- Applicant: McAfee, LLC
- Applicant Address: US CA San Jose
- Assignee: McAfee, LLC
- Current Assignee: McAfee, LLC
- Current Assignee Address: US CA San Jose
- Agency: Hanley, Flight & Zimmerman, LLC
- Main IPC: G06F21/56
- IPC: G06F21/56 ; G06K9/62

Abstract:
Methods, apparatus, systems, and articles of manufacture are disclosed that improve detection of malware based on ecosystem specific data. An example apparatus includes a feedback weight controller to apply, with a machine learning model, a weight to feedback associated with a sample, the feedback obtained from at least a customer ecosystem and including endpoint feedback, human feedback, infrastructure feedback, and global feedback; and a sample conviction controller to, in response to a score based on the weighted feedback satisfying a threshold for a classification, indicate to a user, with the machine learning model, that the classification for the sample is malicious.
Public/Granted literature
- US20210406613A1 METHODS AND APPARATUS TO IMPROVE DETECTION OF MALWARE BASED ON ECOSYSTEM SPECIFIC DATA Public/Granted day:2021-12-30
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